Research on Radar Full-Pulse Data Sorting Algorithm Based on PRI Transform

Abstract

Aiming at the problem of radar signal sorting in complex electromagnetic environments, this paper studies a full-pulse data sorting algorithm based on Pulse Repetition Interval (PRI) transform. By introducing a complex phase accumulation mechanism to suppress subharmonic interference and combining an adaptive double-threshold detection strategy to enhance weak signal recognition, effective separation of fixed, staggered, and jittered PRF radar signals is achieved. Experimental results show that the algorithm achieves a PRI detection accuracy of 98% in simple scenarios and an sorting success rate of over 85% for long-period low-PRF signals in complex scenarios, but there is a trade-off between bin resolution and computational complexity. This research provides an engineering solution for real-time signal sorting in radar countermeasures.